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Image Geometric Correction Parallelization of the Multi-azimuth UV Imager Based on GPU

  • Wanfeng Zhang
  • Zhiwen Liu
  • Shengyang Li
  • Yuyang Shao
  • Zhuang Zhou
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 541)

Abstract

The Multi-Azimuth UV Imager (MAVI) is designed and built by Chinese scientific institute independently. The MAVI is comprised of the ultraviolet ring imager and the ultraviolet forward imager. One track of image of ultraviolet ring imager contains hundreds of standard image frames arranged along the track direction and possesses relatively higher data volume. To produce the standard level-one product rapidly, the entire procedure of geometric correction was decomposed into parameter parsing, data reading into memory, model of geometric correction, and data exporting to hard disk. Among these four steps of ultraviolet ring imager image processing, the construction and calculating of geometric correction model is the most time consuming. There exist several for loops in steps of geometric positioning and vector calculating. Simultaneously, the majority of C code of geometric positioning and vector calculating should be rewritten to adapt the CUDA GPU in this practice. Experimental results show that parallelized geometric correction could reach a speedup of 3.2 through image partition along the column direction on GPU. A better speedup result of URI image processing would be achieved through parallelizing all for loops in every step.

Keywords

Tiangong-2 Ultraviolet ring imager GPU Geometric correction Vector calculating 

Notes

Acknowledgements

This research was supported by the National Natural Science Foundation of China (Grant No. 41701468), and the CAS Key Laboratory of Lunar and Deep Space Exploration (Grant No. 16120452). Thanks to China Manned Space Engineering for providing space science and application data products of Tiangong-2.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Wanfeng Zhang
    • 1
  • Zhiwen Liu
    • 1
  • Shengyang Li
    • 1
  • Yuyang Shao
    • 1
  • Zhuang Zhou
    • 1
  1. 1.Key Laboratory of Space UtilizationTechnology and Engineering Center for Space Utilization, Chinese Academy of SciencesBeijingPeople’s Republic of China

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